Data Scientist

• Responsible for end-to-end model estimation and implementation, including data ETL, variable selection, and performance testing
• Involved in model deployment and validation
• Meet regularly with stakeholders to assess ongoing model performance and design choices
• Design, develop, and evaluate moderately complex predictive models and advanced algorithms
• Identify meaningful insights from large data and metadata sources
• Test hypotheses/models, analyze, and interpret results
• Exercise sound judgment and discretion within defined procedures and practices
• Develop and code moderately complex software programs, algorithms, and automated processes
• Use modeling and trend analysis to analyze data and provide insights
• Develop understanding of best practices and ethical AI
• Transform data into charts, tables, or format that aids effective decision making
• Build working relationships with team members and subject matter experts
• Lead small projects and initiatives
• Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders

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